1. DDoS Protection for AI APIs with Cloudflare Rulesets


    To protect your AI APIs from DDoS (Distributed Denial of Service) attacks using Cloudflare's infrastructure, you can employ Cloudflare's Rulesets. Rulesets allow you to define a set of rules concerning how incoming traffic is processed. You can specify expressions and actions within each rule that can mitigate or challenge traffic that appears to be a part of a DDoS attack.

    In the Cloudflare Ruleset, you will define rules with expressions to identify and handle potentially malicious traffic. For example, you can rate limit requests from individual clients, challenge requests that match certain patterns, or block requests from certain countries or IP addresses known for attacks.

    Below is a basic example of setting up a Cloudflare Ruleset using Pulumi and Python. This program sets up a ruleset that challenges requests with a certain User-Agent header and blocks requests coming from a specific IP address. Additional rules can be added based on specific needs, such as rate limiting or geographic blocking.

    The ruleset is associated with a particular phase of traffic handling; in this case, it's the http_request_main phase, where most of the HTTP request handling is performed.

    Here's how you'd set up a simple ruleset to protect your AI API:

    import pulumi import pulumi_cloudflare as cloudflare # Configuring a Cloudflare Ruleset # For detailed documentation on the Cloudflare Ruleset resource, visit: # https://www.pulumi.com/registry/packages/cloudflare/api-docs/ruleset/ ruleset = cloudflare.Ruleset("my-ai-api-ruleset", # Replace these placeholder values with your actual Zone ID and Account ID from Cloudflare. zone_id="your-cloudflare-zone-id", phase="http_request_main", name="DDoS Protection Ruleset for AI APIs", description="A ruleset to protect the AI API from DDoS attacks", kind="zone", rules=[ cloudflare.RulesetRuleArgs( action="challenge", expression="(http.user_agent eq \"BadBot\")", description="Challenge requests with 'BadBot' User-Agent header", ), cloudflare.RulesetRuleArgs( action="block", expression="(ip.src eq", description="Block requests from this specific IP address", ), # You can add more rules here based on your specific requirements. ] ) # Export the ID of the ruleset to be used for future reference or in other Pulumi stacks pulumi.export("ruleset_id", ruleset.id)

    In this program:

    • We import the required Pulumi and Cloudflare packages.
    • We create a Ruleset resource, specifying the zone and phase it will apply to.
    • We define individual RulesetRuleArgs for our rules, setting actions like "challenge" or "block" based on the expressions we evaluate.
    • Lastly, we export the ID of our created ruleset for future reference or use in other parts of our infrastructure setup.

    Remember that before running this code, you need to have Pulumi installed and configured with access to your Cloudflare account. The zone_id should be replaced with your actual Zone ID that you get from your Cloudflare dashboard, and your-cloudflare-zone-id would be the actual ID of the zone where your API is configured.

    It's essential to tailor the expressions and actions to fit the specific needs and threat model of your API. Cloudflare provides a versatile expression language that allows you to identify and challenge a wide range of request attributes to enhance security effectively.